Sr Lead Software Engineer - Big Data/ Spark/Hadoop

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

Find out more about this role by reading the information below, then apply to be considered.

As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Technology Engineering and Architecture team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

A motivated individual with a strong background in data platforms, ETL pipeline setup and analysis, you will lead the data catalog initiatives to establish and maintain a cohesive and effective data cataloging system, integral to the broader data governance strategy and objectives.

This position requires excellent communication skills, a keen eye for detail, and the ability to work effectively in a fast-paced environment.

Job responsibilities

• Oversee the coordination of activities concerning metadata identification, standardization, and updates within their respective data lakehouse tables.
• Develop and publish metrics for metadata completeness and data catalog usage, fostering its wider adoption.
• Serve as a subject matter expert for data catalog, create training materials and educate users as needed
• Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Create secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contribute to software engineering communities of practice and events that explore new and emerging technologies
• Add to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Experience in software engineering, including hands-on expertise in ETL / Data pipeline and data lake platforms like Databrick, Spark / Hadoop, and Snowflake.
• Strong understanding of data management principles, governance frameworks and best practices.
• Experience with data cataloging tools and systems (e.g., Collibra, Alation, Informatica, Atlan, Databricks Unity Catalog).
• Experience in developing, debugging, and maintaining code in a large enterprise with one or more modern programming languages (e.

g. Java / SpringBoot, Python / Flask).

• Expert in SQL and data profiling tools.
• Solid understanding of SDLC practices, Application Resiliency, Security, Agile methodologies, and CI / CD.
• Knowledge of integration technologies (e.g. GraphQL, REST etc..).
• Excellent analytical and problem-solving skills.
• Strong attention to detail and organizational skills.

Preferred qualifications, capabilities, and skills

• Practical cloud native experience, with exposure of designing and deploying applications on AWS
• Hands on experience with data reporting, BI Tools Tableau, Alteryx
• Effective communication and interpersonal skills.
• Ability to work independently as well as in a team environment.
• Lead development efforts for assigned projects, PI planning, release and deployment processes for assigned projects

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